Statistical Inference

Total Lectures


Mod-01 Lec-01 Introduction and Motivation


Mod-01 Lec-01 Introduction and Motivation
Mod-02 Lec-02 Basic Concepts of Point Estimations - I
Mod-03 Lec-03 Basic Concepts of Point Estimations - II
Mod-04 Lec-04 Finding Estimators - I
Mod-05 Lec-05 Finding Estimators - II
Mod-06 Lec-06 Finding Estimators - III
Mod-07 Lec-07 Properties of MLEs
Mod-08 Lec-08 Lower Bounds for Variance - I
Mod-09 Lec-09 Lower Bounds for Variance - II
Mod-10 Lec-10 Lower Bounds for Variance - III
Mod-11 Lec-11 Lower Bounds for Variance - IV
Mod-12 Lec-12 Sufficiency
Mod-13 Lec-13 Sufficiency and Information
Mod-14 Lec-14 Minimal Sufficiency, Completeness
Mod-15 Lec-15 UMVU Estimation, Ancillarity
Mod-16 Lec-16 Invariance - I
Mod-17 Lec-17 Invariance - II
Mod-18 Lec-18 Bayes and Minimax Estimation - I
Mod-19 Lec-19 Bayes and Minimax Estimation - II
Mod-20 Lec-20 Bayes and Minimax Estimation - III
Mod-21 Lec-21 Testing of Hypotheses : Basic Concepts
Mod-22 Lec-22 Neyman Pearson Fundamental Lemma
Mod-23 Lec-23 Applications of NP lemma
Mod-24 Lec-24 UMP Tests
Mod-25 Lec-25 UMP Tests (Contd.)
Mod-26 Lec-26 UMP Unbiased Tests
Mod-27 Lec-27 UMP Unbiased Tests (Contd.)
Mod-28 Lec-28 UMP Unbiased Tests : Applications
Mod-29 Lec-29 Unbiased Tests for Normal Populations
Mod-30 Lec-30 Unbiased Tests for Normal Populations (Contd.)
Mod-31 Lec-31 Likelihood Ratio Tests - I
Mod-32 Lec-32 Likelihood Ratio Tests - II
Mod-33 Lec-33 Likelihood Ratio Tests - III
Mod-34 Lec-34 Likelihood Ratio Tests - IV
Mod-35 Lec-35 Invariant Tests
Mod-36 Lec-36 Test for Goodness of Fit
Mod-37 Lec-37 Sequential Procedure
Mod-38 Lec-38 Sequential Procedure (Contd.)
Mod-39 Lec-39 Confidence Intervals
Mod-40 Lec-40 Confidence Intervals (Contd.)
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